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Fluorescent nanodiamond scintillators for beam diagnostics of EUV and soft X-ray in photolithographic applications.
RSC Adv
January 2025
Institute of Atomic and Molecular Sciences, Academia Sinica Taipei 106 Taiwan
Extreme ultraviolet (EUV) lithography is a cutting-edge technology in contemporary semiconductor chip manufacturing. Monitoring the EUV beam profiles is critical to ensuring consistent quality and precision in the manufacturing process. This study uncovers the practical use of fluorescent nanodiamonds (FNDs) coated on optical image sensors for profiling EUV and soft X-ray (SXR) radiation beams.
View Article and Find Full Text PDFOptical Metasurfaces for Biomedical Imaging and Sensing.
ACS Nano
January 2025
Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Optical metasurfaces, arrays of nanostructures engineered to manipulate light, have emerged as a transformative technology in both research and industry due to their compact design and exceptional light control capabilities. Their strong light-matter interactions enable precise wavefront modulation, polarization control, and significant near-field enhancements. These unique properties have recently driven their application in biomedical fields.
View Article and Find Full Text PDFDeep imaging of LepR stromal cells in optically cleared murine bone hemisections.
Bone Res
January 2025
National Institute of Biological Sciences, Beijing (NIBS), 102206, Beijing, China.
Tissue clearing combined with high-resolution confocal imaging is a cutting-edge approach for dissecting the three-dimensional (3D) architecture of tissues and deciphering cellular spatial interactions under physiological and pathological conditions. Deciphering the spatial interaction of leptin receptor-expressing (LepR) stromal cells with other compartments in the bone marrow is crucial for a deeper understanding of the stem cell niche and the skeletal tissue. In this study, we introduce an optimized protocol for the 3D analysis of skeletal tissues, enabling the visualization of hematopoietic and stromal cells, especially LepR stromal cells, within optically cleared bone hemisections.
View Article and Find Full Text PDFParkinson's Disease Prediction: An Attention-Based Multimodal Fusion Framework Using Handwriting and Clinical Data.
Diagnostics (Basel)
December 2024
Department of Information Technology, Aylol University College, Yarim 547, Yemen.
Background: Neurodegenerative diseases (NGD) encompass a range of progressive neurological conditions, such as Alzheimer's disease (AD) and Parkinson's disease (PD), characterised by the gradual deterioration of neuronal structure and function. This degeneration manifests as cognitive decline, movement impairment, and dementia. Our focus in this investigation is on PD, a neurodegenerative disorder characterized by the loss of dopamine-producing neurons in the brain, leading to motor disturbances.
View Article and Find Full Text PDFAI image analysis as the basis for risk-stratified screening.
Jpn J Radiol
January 2025
Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden.
Artificial intelligence (AI) has emerged as a transformative tool in breast cancer screening, with two distinct applications: computer-aided cancer detection (CAD) and risk prediction. While AI CAD systems are slowly finding its way into clinical practice to assist radiologists or make independent reads, this review focuses on AI risk models, which aim to predict a patient's likelihood of being diagnosed with breast cancer within a few years after negative screening. Unlike AI CAD systems, AI risk models are mainly explored in research settings without widespread clinical adoption.
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